Research on Optimal Control Algorithm of Ice Thermal-Storage Air-Conditioning System

  • Junqi YuEmail author
  • Xiong Yang
  • Anjun Zhao
  • Meng Zhou
  • Yanhuan Ren
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 890)


The constraint-based nonlinear multivariate function optimization algorithm was used to optimize the distribution of cooling load between chillers and ice-storage tanks. The goal is to minimize the cooling load and system running costs of the air-conditioning system. Based on the peak-valley price principle of the power grid system, the most economical running of the ice-storage air-conditioning system is achieved. The results show that compared with the traditional ice-storage air-conditioning system control algorithm, the proposed method can reduce the power consumption of the system by 10.32% and reduce the system operating cost by 12.07% under the premise of satisfying the demand for terminal cooling capacity.


Optimal control Ice-storage air-conditioning Building energy conservation 



This work is supported by the National Key Research and Development Project of China with the grant number: 2017YFC0704100 (entitled New Generation Intelligent Building Platform Techniques) and Xi’an Beilin District Science and Technology Plan Project with the grant number: GX1603 (entitled An Energy-Saving Optimized Operation Strategy for an Ice Storage Air Conditioning System in Xi’an, China).


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Junqi Yu
    • 1
    • 2
    Email author
  • Xiong Yang
    • 1
  • Anjun Zhao
    • 1
  • Meng Zhou
    • 1
  • Yanhuan Ren
    • 1
  1. 1.School of Information and Control EngineeringXi’an University of Architecture and TechnologyXi’anChina
  2. 2.Smart City Research CenterXi’anChina

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